Innovative Analysis of Emblem Ink Mold Pattern Based on Style Transfer Algorithm and 5G Network

Authors

  • Xin Wang Ph.D. Candidate, Department of Fine Arts, Krirk University, Bangkok, 10220, Thailand

DOI:

https://doi.org/10.17762/ijcnis.v15i2.6120

Keywords:

Style Transfer Algorithm, Huimo, Ink Molds, Innovation, Multimedia Networks

Abstract

Aiming at the problems of poor pattern innovation analysis and difficult pattern innovation, a pattern innovation method based on Huimo ink mold is proposed. In the process of making the pattern analysis of the emblem ink mold, the complex design process of innovative analysis and design, as well as the massive analysis data, need to be analyzed with the help of intelligent algorithms. At the same time, wireless network technology has less application in Huimo ink molds, which affects the development of traditional Huimo skills. Therefore, this paper proposes an innovative method of emblem ink mold pattern based on a style transfer algorithm, which innovatively designs different styles of emblem ink mold patterns and extracts the framework elements of innovative patterns. Firstly, the style transfer algorithm is used to collect the relevant data for the creation of the ink mold pattern, and the data of different styles are summarized through the 5G network and multimedia network, and the ink mold pattern is carried out according to the style transfer characteristics of division, innovation of innovation. Then, according to the style transfer algorithm, the style transmission is carried out in combination with the multimedia network to promote the feature extraction of the ink mold pattern. The research results show that with the support of multimedia network technology, the style transfer algorithm can improve the innovation level of emblem ink engraving patterns and promote the development of the emblem ink creation process.

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Published

2023-10-11

How to Cite

Wang, X. (2023). Innovative Analysis of Emblem Ink Mold Pattern Based on Style Transfer Algorithm and 5G Network. International Journal of Communication Networks and Information Security (IJCNIS), 15(3), 113–124. https://doi.org/10.17762/ijcnis.v15i2.6120

Issue

Section

Research Articles